
There is a growing body of research showing that passive sensing data from everyday devices can capture daily behavior signals related to depressive symptoms [1]}, [2]}, [3]}, [4]}, which has attracted increasing attention from various communities.
Therefore, we use depression detection as the main task to benchmark our multi-year datasets.

We envision the platform can be extended to other behavior modeling tasks using different ground truth labels.
